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» Generation of Attributes for Learning Algorithms
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ICML
2010
IEEE
13 years 10 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
IJON
2007
184views more  IJON 2007»
13 years 9 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
ICML
2010
IEEE
13 years 10 months ago
Conditional Topic Random Fields
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
Jun Zhu, Eric P. Xing
ICDE
2004
IEEE
125views Database» more  ICDE 2004»
14 years 10 months ago
Range CUBE: Efficient Cube Computation by Exploiting Data Correlation
Data cube computation and representation are prohibitively expensive in terms of time and space. Prior work has focused on either reducing the computation time or condensing the r...
Ying Feng, Divyakant Agrawal, Amr El Abbadi, Ahmed...
FATES
2003
Springer
14 years 2 months ago
Auto-generating Test Sequences Using Model Checkers: A Case Study
Use of model-checking approaches for test generation from requirement models have been proposed by several researchers. These approaches leverage the witness (or counter-example) ...
Mats Per Erik Heimdahl, Sanjai Rayadurgam, Willem ...